90 lines
3.3 KiB
JavaScript
90 lines
3.3 KiB
JavaScript
// META: title=validation tests for WebNN API gatherND operation
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// META: global=window
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// META: variant=?cpu
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// META: variant=?gpu
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// META: variant=?npu
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// META: script=../resources/utils_validation.js
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'use strict';
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const label = 'gatherND_';
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const regexp = new RegExp('\\[' + label + '\\]');
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const tests = [
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{
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name: '[gatherND] Test gatherND with 5D input 3D indices',
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input: {dataType: 'float32', shape: [2, 2, 3, 3, 4]},
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indices: {dataType: 'int32', shape: [5, 4, 3]},
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output: {dataType: 'float32', shape: [5, 4, 3, 4]}
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},
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{
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name: '[gatherND] Throw if input is a scalar',
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input: {dataType: 'float32', shape: []},
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indices: {dataType: 'int32', shape: [1, 1, 1]}
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},
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{
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name: '[gatherND] Throw if indices is a scalar',
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input: {dataType: 'float32', shape: [1, 1, 1]},
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indices: {dataType: 'int32', shape: []}
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},
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{
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name: '[gatherND] Throw if indices data type is float32',
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input: {dataType: 'float32', shape: [1, 2, 3]},
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indices: {dataType: 'float32', shape: [1, 1, 1]},
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},
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{
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name:
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'[gatherND] Throw if indices.shape[-1] is greater than the input rank',
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input: {dataType: 'float32', shape: [1, 2, 3]},
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indices: {dataType: 'int32', shape: [1, 1, 4]}
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}
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];
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tests.forEach(test => promise_test(async t => {
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const builder = new MLGraphBuilder(context);
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const input = builder.input('input', test.input);
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const indices = builder.input('indices', test.indices);
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if (test.output &&
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context.opSupportLimits().gatherND.input.dataTypes.includes(
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test.input.dataType)) {
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const output = builder.gatherND(input, indices);
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assert_equals(output.dataType, test.output.dataType);
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assert_array_equals(output.shape, test.output.shape);
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} else {
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const options = {label: label};
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assert_throws_with_label(
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() => builder.gatherND(input, indices, options), regexp);
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}
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}, test.name));
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multi_builder_test(async (t, builder, otherBuilder) => {
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const inputFromOtherBuilder =
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otherBuilder.input('input', {dataType: 'float32', shape: [2, 2]});
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const indices = builder.input('indices', {dataType: 'int32', shape: [2, 1]});
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assert_throws_js(
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TypeError, () => builder.gatherND(inputFromOtherBuilder, indices));
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}, '[gatherND] Throw if input is from another builder');
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multi_builder_test(async (t, builder, otherBuilder) => {
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const indicesFromOtherBuilder =
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otherBuilder.input('indices', {dataType: 'int32', shape: [2, 2]});
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const input = builder.input('input', {dataType: 'float32', shape: [2, 1]});
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assert_throws_js(
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TypeError, () => builder.gatherND(input, indicesFromOtherBuilder));
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}, '[gatherND] Throw if indices is from another builder');
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promise_test(async t => {
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const builder = new MLGraphBuilder(context);
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const input = builder.input('input', {
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dataType: 'float32', shape: [2, 2, 3, 3, 4]});
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const indices = builder.input('indices', {
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dataType: 'int32',
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shape: [context.opSupportLimits().maxTensorByteLength / 4, 1, 1]});
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const options = {label};
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assert_throws_with_label(
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() => builder.gatherND(input, indices, options), regexp);
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}, '[gatherND] throw if the output tensor byte length exceeds limit');
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